Miao Ren

2.7k total citations
32 papers, 1.3k citations indexed

About

Miao Ren is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biophysics. According to data from OpenAlex, Miao Ren has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Biophysics. Recurrent topics in Miao Ren's work include Cell Image Analysis Techniques (9 papers), Mitochondrial Function and Pathology (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). Miao Ren is often cited by papers focused on Cell Image Analysis Techniques (9 papers), Mitochondrial Function and Pathology (7 papers) and Neuroscience and Neuropharmacology Research (7 papers). Miao Ren collaborates with scholars based in China, United States and Norway. Miao Ren's co-authors include Hui Gong, Paul A. Lindahl, Jing Yuan, Anan Li, Xiangning Li, Qingming Luo, Qingtao Sun, Gregory P. Holmes‐Hampton, Yalun Zhang and Eckard Münck and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Miao Ren

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miao Ren China 16 615 326 246 244 151 32 1.3k
Sven Vilain Belgium 12 748 1.2× 383 1.2× 59 0.2× 449 1.8× 146 1.0× 16 1.6k
Martin Sadowski United States 23 765 1.2× 403 1.2× 210 0.9× 984 4.0× 126 0.8× 57 1.8k
Pilar González‐Cabo Spain 20 728 1.2× 512 1.6× 44 0.2× 159 0.7× 47 0.3× 38 1.2k
Anda Cornea United States 24 959 1.6× 390 1.2× 86 0.3× 361 1.5× 88 0.6× 47 2.1k
Stefanie Carroll United States 17 944 1.5× 291 0.9× 44 0.2× 230 0.9× 18 0.1× 18 1.3k
Gregory A. O’Sullivan Germany 15 566 0.9× 527 1.6× 52 0.2× 99 0.4× 46 0.3× 19 1.1k
Luis E. Politi Argentina 25 1.2k 1.9× 327 1.0× 51 0.2× 107 0.4× 254 1.7× 56 1.7k
Sumon K. Pal United States 11 527 0.9× 606 1.9× 161 0.7× 144 0.6× 148 1.0× 11 1.2k
Kyu Yeong Choi South Korea 20 449 0.7× 257 0.8× 170 0.7× 200 0.8× 25 0.2× 65 1.3k
Kazuhisa Sakai Japan 20 398 0.6× 191 0.6× 94 0.4× 82 0.3× 27 0.2× 43 888

Countries citing papers authored by Miao Ren

Since Specialization
Citations

This map shows the geographic impact of Miao Ren's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Miao Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Ren more than expected).

Fields of papers citing papers by Miao Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miao Ren. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Miao Ren. The network helps show where Miao Ren may publish in the future.

Co-authorship network of co-authors of Miao Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Ren. A scholar is included among the top collaborators of Miao Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miao Ren. Miao Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Yuxiao, Miao Ren, Tao Jiang, et al.. (2025). Dissection of the long-range circuit of the mouse intermediate retrosplenial cortex. Communications Biology. 8(1). 56–56. 1 indexed citations
2.
Li, Qianqian, Miao Ren, Anan Li, et al.. (2025). Single-nucleus transcriptome atlas of the basal forebrain reveals diverse ageing-related pathways. Brain. 148(7). 2493–2508.
3.
Ren, Miao, Yuxiao Li, Tao Jiang, et al.. (2025). Long‐range inputome of prefrontal GABAergic interneurons in the Alzheimer's disease mouse. Alzheimer s & Dementia. 21(2). e14552–e14552. 1 indexed citations
4.
Liang, Jingwen, Qiru Feng, Youtong Zhou, et al.. (2024). A brainstem circuit amplifies aversion. Neuron. 112(21). 3634–3650.e5. 6 indexed citations
5.
Li, Jiaxin, Rui Zhang, Miao Ren, et al.. (2023). WDR77 inhibits prion-like aggregation of MAVS to limit antiviral innate immune response. Nature Communications. 14(1). 4824–4824. 6 indexed citations
6.
Li, Yuxiao, et al.. (2023). Targeted approaches to delineate neuronal morphology during early development. Frontiers in Cellular Neuroscience. 17. 1259360–1259360. 1 indexed citations
7.
Ren, Miao, Qingtao Sun, Siqi Chen, et al.. (2021). Plastic embedding for precise imaging of large-scale biological tissues labeled with multiple fluorescent dyes and proteins. Biomedical Optics Express. 12(11). 6730–6730. 4 indexed citations
8.
Jiang, Siqi, Zhao Feng, Yue Guan, et al.. (2020). Skeleton optimization of neuronal morphology based on three-dimensional shape restrictions. BMC Bioinformatics. 21(1). 395–395. 5 indexed citations
9.
Feng, Zhao, Yue Guan, Xueyan Jia, et al.. (2020). DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks. Neuroinformatics. 19(2). 267–284. 12 indexed citations
10.
Zhou, Can, Ting Zheng, Ting Luo, et al.. (2020). Continuous imaging of large-volume tissues with a machinable optical clearing method at subcellular resolution. Biomedical Optics Express. 11(12). 7132–7132. 5 indexed citations
11.
Xu, Xiaofeng, Yue Guan, Hui Gong, et al.. (2019). Automated Brain Region Segmentation for Single Cell Resolution Histological Images Based on Markov Random Field. Neuroinformatics. 18(2). 181–197. 5 indexed citations
12.
Sun, Qingtao, Xiangning Li, Miao Ren, et al.. (2019). A whole-brain map of long-range inputs to GABAergic interneurons in the mouse medial prefrontal cortex. Nature Neuroscience. 22(8). 1357–1370. 134 indexed citations
13.
Lin, Rui, Ruiyu Wang, Jing Yuan, et al.. (2018). Cell-type-specific and projection-specific brain-wide reconstruction of single neurons. Nature Methods. 15(12). 1033–1036. 81 indexed citations
14.
Simcox, Judith, Gisela Geoghegan, J. Alan Maschek, et al.. (2017). Global Analysis of Plasma Lipids Identifies Liver-Derived Acylcarnitines as a Fuel Source for Brown Fat Thermogenesis. Cell Metabolism. 26(3). 509–522.e6. 188 indexed citations
15.
Peng, Jie, Yalun Zhang, Anan Li, et al.. (2017). Single-axon level morphological analysis of corticofugal projection neurons in mouse barrel field. Scientific Reports. 7(1). 2846–2846. 33 indexed citations
16.
Zhang, Chen, Cheng Yan, Miao Ren, et al.. (2017). A platform for stereological quantitative analysis of the brain-wide distribution of type-specific neurons. Scientific Reports. 7(1). 14334–14334. 22 indexed citations
17.
Li, Liangtao, Miao Ren, Xuan Jia, Diane McVey Ward, & Jerry Kaplan. (2014). Expression of the Yeast Cation Diffusion Facilitators Mmt1 and Mmt2 Affects Mitochondrial and Cellular Iron Homeostasis. Journal of Biological Chemistry. 289(24). 17132–17141. 26 indexed citations
18.
Li, Liangtao, et al.. (2012). A Role for Iron-Sulfur Clusters in the Regulation of Transcription Factor Yap5-dependent High Iron Transcriptional Responses in Yeast. Journal of Biological Chemistry. 287(42). 35709–35721. 48 indexed citations
19.
Holmes‐Hampton, Gregory P., et al.. (2010). A Nonheme High-Spin Ferrous Pool in Mitochondria Isolated from Fermenting Saccharomyces cerevisiae. Biochemistry. 49(19). 4227–4234. 34 indexed citations
20.
Lindahl, Paul A., et al.. (2009). Chapter 15 Isolation of Saccharomyces Cerevisiae Mitochondria for Mössbauer, Epr, and Electronic Absorption Spectroscopic Analyses. Methods in enzymology on CD-ROM/Methods in enzymology. 456. 267–285. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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